Specific Scheduling Request for Wireless QoS
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Solution Overview
Problem
Wireless communication systems face challenges in efficiently determining the most desirable wireless access point for mobile devices, leading to time and energy-intensive processes due to the complexity of network resource scheduling, particularly in environments with multiple WLAN access points.
Innovation Solution
A client station (STA) determines minimum quality of service (QoS) metrics and scheduling parameters to request specific scheduling from an access point (AP), which allocates communication resources based on these requests, allowing the STA to communicate effectively using allocated resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a client station transmits a specific scheduling request with minimum scheduling parameters to an access point, then resource allocation efficiency is improved and QoS requirements are met, but the device complexity and communication overhead increase due to additional signaling requirements
Solution Approach 1:
The client station performs preliminary determination of minimum QoS metrics and scheduling parameters before transmission. By pre-calculating these parameters locally at the client station based on application requirements, the system avoids complex real-time negotiations and enables the access point to directly allocate resources according to the pre-determined parameters, thus improving efficiency while keeping signaling simple
Solution Approach 2:
The invention changes the parameter representation by encoding scheduling parameters (such as minimum interval and maximum interval between trigger frames, or minimum data throughput) into standardized fields within existing MAC header structures like the A-Control field. This parameter encoding approach allows efficient resource allocation without requiring new complex signaling protocols
2Loss of time
If the access point schedules communication resources based on specific scheduling requests, then latency is reduced and buffer overflow risks are minimized, but the system requires more precise measurement and control mechanisms
Solution Approach 1:
The invention replaces complex continuous monitoring and dynamic adjustment mechanisms with a discrete parameter-based approach. Instead of continuously measuring and adjusting QoS metrics, the client station determines minimum scheduling parameters in advance, and the access point allocates resources based on these discrete parameter values. This substitution reduces measurement complexity while maintaining timing precision
Solution Approach 2:
The system implements feedback through the scheduling request mechanism where the client station provides feedback about its QoS requirements and current resource allocation status. The access point uses this feedback to adjust future resource allocations, creating a closed-loop system that reduces latency through iterative optimization based on actual performance
Data Source
AI summary
Methods, systems, and apparatus are presented for providing enhanced scheduling requests, e.g., in an IEEE 802.11 network. A client station (STA) may determine one or more minimum quality of service (QoS) metrics for supporting an application being implemented by the STA, and may determine minimum scheduling parameters to be implemented by an access point (AP) to achieve the minimum QoS. The STA may transmit to the AP a specific scheduling request indicating the minimum scheduling parameters. In response, the AP may schedule communication resources for the STA in accordance with the minimum scheduling resources.